ABSTRACT
This chapter analyzes how Artificial Intelligence (AI) and diversity impact the reader life, organization, or topic of research, and pathways that can take us toward more inclusive and responsible societies with AI. Intersectionality can “reveal both the intersections of institutions, systems, and categorizations that produce oppression and the intersections of identity categorizations within individuals and groups”. Intersectional issues can lead to double discrimination, for example, by management with inclusion programs that include Black men and white women, but not Black women. Sociotechnical diversity thus implies critical thinking as the cornerstone of analyzing how AI impacts different social groups, and how it can reproduce bias and exclusion, situated in specific contexts. Awareness of who benefits from AI and who is excluded is crucial for moving toward a fairer use of AI that benefits more diverse groups of people.
